Articles tagged with: LLMs
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This interview with Ginger Holt, senior staff data scientist at DataBricks, and Amarjot Kaur, executive director at Merck, was conducted by Practical Significance co-hosts Donna LaLonde and Ron Wasserstein during a recent podcast. If you missed the show, this is your opportunity to learn about the recently formed ASA Caucus of Industry Representatives, which will help promote statistics and data science in the private and public sectors and provide resources to successfully advocate for the discipline.
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The Columbia University Department of Statistics, New York City Metro Area Chapter of the ASA, and ASA Section on Text Analysis sponsored a workshop on large language models during which participants had an in-depth conversation about the roles of statistics in an era of LLMs—not only the opportunities for statistical innovations, but also the potential risks.